DM-23975: Convert subfilter type to int

config/dimensions.yaml

@@ -76,10 +76,9 @@ dimensions:
         refraction.
       keys:
       -
-        name: name
-        type: string
-        length: 18
-      implies:
+        name: id
+        type: int
+      requires:
       - abstract_filter
       cached: true
 

python/lsst/daf/butler/core/dimensions/graph.py

@@ -23,7 +23,7 @@
 
 __all__ = ["DimensionGraph"]
 
-from typing import Optional, Iterable, Iterator, KeysView, Union, Any, TYPE_CHECKING
+from typing import Optional, Iterable, Iterator, KeysView, Union, Any, Tuple, TYPE_CHECKING
 
 from ..utils import NamedValueSet, NamedKeyDict, immutable
 
@@ -192,28 +192,6 @@ def _finish(self):
         self._dimensionIndices = NamedKeyDict({dimension: i for i, dimension in enumerate(self.dimensions)})
         self._elementIndices = NamedKeyDict({element: i for i, element in enumerate(self.elements)})
 
-        # Compute an element traversal order that allows element records to be
-        # found given their primary keys, starting from only the primary keys
-        # of required dimensions.  Unlike the table definition/topological
-        # order (which is what DimensionUniverse.sorted gives you), when
-        # dimension A implies dimension B, dimension A appears first.
-        # This is really for DimensionDatabase/ExpandedDataCoordinate, but
-        # is stored here so we don't have to recompute it for every coordinate.
-        todo = set(self.elements)
-        self._primaryKeyTraversalOrder = []
-
-        def addToPrimaryKeyTraversalOrder(element):
-            if element in todo:
-                self._primaryKeyTraversalOrder.append(element)
-                todo.remove(element)
-                for other in element.implied:
-                    addToPrimaryKeyTraversalOrder(other)
-
-        for dimension in self.required:
-            addToPrimaryKeyTraversalOrder(dimension)
-
-        self._primaryKeyTraversalOrder.extend(todo)
-
     def __getnewargs__(self) -> tuple:
         return (self.universe, None, tuple(self.dimensions.names), False)
 
@@ -415,6 +393,42 @@ def getTemporal(self, *, independent: bool = True,
             return _filterDependentElements(self._allTemporal,
                                             prefer=NamedValueSet(self.elements[p] for p in prefer))
 
+    @property
+    def primaryKeyTraversalOrder(self) -> Tuple[DimensionElement]:
+        """Return a tuple of all elements in an order allows records to be
+        found given their primary keys, starting from only the primary keys of
+        required dimensions (`tuple` [ `DimensionRecord` ]).
+
+        Unlike the table definition/topological order (which is what
+        DimensionUniverse.sorted gives you), when dimension A implies
+        dimension B, dimension A appears first.
+        """
+        order = getattr(self, "_primaryKeyTraversalOrder", None)
+        if order is None:
+            done = set()
+            order = []
+
+            def addToOrder(element) -> bool:
+                if element.name in done:
+                    return
+                predecessors = set(element.graph.required.names)
+                predecessors.discard(element.name)
+                if not done.issuperset(predecessors):
+                    return
+                order.append(element)
+                done.add(element)
+                for other in element.implied:
+                    addToOrder(other)
+
+            while not done.issuperset(self.required):
+                for dimension in self.required:
+                    addToOrder(dimension)
+
+            order.extend(element for element in self.elements if element.name not in done)
+            order = tuple(order)
+            self._primaryKeyTraversalOrder = order
+        return order
+
     # Class attributes below are shadowed by instance attributes, and are
     # present just to hold the docstrings for those instance attributes.
 

python/lsst/daf/butler/registry/_registry.py

@@ -1124,7 +1124,7 @@ def expandDataId(self, dataId: Optional[DataId] = None, *, graph: Optional[Dimen
         else:
             records = dict(records) if records is not None else {}
         keys = dict(standardized)
-        for element in standardized.graph._primaryKeyTraversalOrder:
+        for element in standardized.graph.primaryKeyTraversalOrder:
             record = records.get(element.name, ...)  # Use ... to mean not found; None might mean NULL
             if record is ...:
                 storage = self._dimensions[element]

tests/test_dimensions.py

@@ -24,7 +24,7 @@
 import pickle
 import itertools
 
-from lsst.daf.butler.core.utils import NamedKeyDict
+from lsst.daf.butler.core.utils import NamedKeyDict, NamedValueSet
 from lsst.daf.butler.core.dimensions import DimensionUniverse, DimensionGraph, Dimension
 from lsst.daf.butler.core.dimensions.schema import makeElementTableSpec
 
@@ -63,6 +63,17 @@ def checkGraphInvariants(self, graph):
                               [element for element in graph.elements
                                if isinstance(element, Dimension)])
         self.assertCountEqual(graph.dimensions, itertools.chain(graph.required, graph.implied))
+        # Check primary key traversal order: each element should follow any it
+        # requires, and element that is implied by any other in the graph
+        # follow at least one of those.
+        seen = NamedValueSet()
+        for element in graph.primaryKeyTraversalOrder:
+            with self.subTest(required=graph.required, implied=graph.implied, element=element):
+                seen.add(element)
+                self.assertLessEqual(element.graph.required, seen)
+                if element in graph.implied:
+                    self.assertTrue(any(element in s.implied for s in seen))
+        self.assertCountEqual(seen, graph.elements)
 
     def testConfigRead(self):
         self.assertEqual(self.universe.dimensions.names,